Job SummaryAs a Senior Forward Deployed Engineer, you will be at the forefront of enterprise AI adoption, delivering advanced technology in complex environments. Your primary responsibility will be to lead end‑to‑end deployment projects from an engineering perspective, focusing on engineering solutions for enterprise‑scale success rather than just implementing existing ones. You will act as an in‑field product engineer, building novel solutions, adapting architectures to enterprise realities, and engineering integrations across systems and APIs. This role is hands‑on and code‑first, involving building, debugging, and engineering solutions directly in the field, with work that impacts customer experience and product evolution. The role emphasizes engineering solutions for production success under real‑world enterprise constraints, at speed and scale.Key ResponsibilitiesOwn deployment engineering projects, leading technical execution and product engineering within large, complex enterprise environments.Design deployment solutions for scale and resilience, meeting enterprise‑grade requirements for performance, reliability, and security.Engineer custom extensions, integrations, and configurations to address product gaps and meet enterprise requirements.Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery across diverse systems and stacks.Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes.Provide technical guidance and mentorship to more junior in‑field engineers.Engage with enterprise architects and senior technical stakeholders to discuss solutions and architectures, ensuring alignment.Rapidly unblock issues in mission‑critical environments and ensure customer success through debugging under pressure.Act as a feedback loop between the field and core engineering teams, influencing platform evolution through deployment learnings.Work with Deployment Strategists to ensure scalable architectures and durable customer value impacts.Required Qualifications7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact.Proven track record of leading deep technical deployments and integrations in large‑scale enterprise environments.Strong technical depth across backend engineering, infrastructure‑as‑code, Kubernetes/cloud platforms, APIs, and databases.Proven experience in systems design and the ability to go hands‑on in production systems.Ability to operate independently in ambiguous, high‑responsibility settings, especially when deploying live to enterprise systems.A builder's mindset with a bias for action, creativity under pressure, and an obsession with making things work in the real world.Degree in Computer Science, Engineering, or a related technical field.Experience with TypeScript, Node.js, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP.Preferred QualificationsExperience building or integrating AI/LLM‑powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration).#J-18808-Ljbffr